DHL Group
Team Lead MLOps(m/w/x)
Vollzeitmit HomeofficeSenior
Bonn
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DHDHL Group
Team Lead MLOps(m/w/x)
Bonn
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Driving MLOps projects from PoC to production for a global logistics provider. 4+ years leading expert teams on complex solutions required. Flexible work arrangement, mobile work and office presence.
Anforderungen
- 10+ years ML/AI or MLOps engineering project delivery
- 4+ years leading expert teams on complex solutions
- Clear communication of technical choices
- High drive and ownership
- Motivation by shaping direction and culture
- People-centric leadership style
- Manager and coach to team
- Quick trust building
- Empathy with pragmatic mindset
- Track record industrializing ML/AI products
- Moving PoCs to production
- Generating measurable business impact
- Translating business needs to MLOps architectures
- Pragmatic decisions on tooling and infrastructure
- Building sustainable relationships with stakeholders
- Bringing clarity to ambiguous situations
- Turning ideas into successful projects
- Deep technical oversight
- Hands-on ML pipeline building
- Hands-on model service operation
- Hands-on CI/CD workflow operation
- Hands-on monitoring/observability stack operation
- Hands-on Kubernetes operation
- Hands-on infrastructure automation operation
- Strong knowledge of LLMOps
- Guiding teams in LLMOps adoption
Aufgaben
- Build relationships with business stakeholders
- Frame business issues, value hypotheses, and success metrics
- Translate requirements into scalable MLOps solutions
- Drive MLOps projects from PoC to production
- Plan resources and timelines
- Define scalable ML/AI architectures
- Validate data and platform readiness
- Lead cross-functional expert teams
- Work closely with Consulting on large-scale projects
- Remove project roadblocks
- Set success criteria
- Ensure adoption of standardized pipelines
- Monitor solution health
- Guide teams toward operational excellence
- Promote Responsible AI and platform governance
- Ensure compliance with security, privacy, and risk standards
- Oversee documentation of evaluations
- Document guardrails and CI/CD workflows
- Document MLOps policies and architecture decision records
- Contribute to internal frameworks and accelerators
- Build reusable components and templates
- Develop best practices for MLOps
- Evolve MLOps service offering
- Shape strategic roadmaps
- Enhance platform capabilities
- Align with stakeholders for enterprise-wide ML adoption
- Lead and develop a team of 5-7 MLOps engineers
- Foster a strong team identity
- Guide career growth
- Provide coaching and continuous feedback
- Perform fair and structured performance assessments
- Support organizational growth
- Interview new candidates
- Represent DHL Data & AI at events and conferences
Berufserfahrung
- 10 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- Kubernetes
- Azure
- AWS
- GCP
Benefits
Weiterbildungsangebote
- Comprehensive training programs
- Workshops
- E-learning resources
Flexibles Arbeiten
- Flexible work arrangement
- Mobile work and office presence
- Work-life balance
Sonstige Vorteile
- Adaptability
Öffi Tickets
- Job ticket for public transportation
Parkplatz & Pendelvorteile
- Parking space for a monthly fee
Firmenfahrrad
- Bicycle leasing
Kinderbetreuung
- DHL Group daycare facilities
Lockere Unternehmenskultur
- Inclusive and cooperative international setting
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DHL Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Driving MLOps projects from PoC to production for a global logistics provider. 4+ years leading expert teams on complex solutions required. Flexible work arrangement, mobile work and office presence.
Anforderungen
- 10+ years ML/AI or MLOps engineering project delivery
- 4+ years leading expert teams on complex solutions
- Clear communication of technical choices
- High drive and ownership
- Motivation by shaping direction and culture
- People-centric leadership style
- Manager and coach to team
- Quick trust building
- Empathy with pragmatic mindset
- Track record industrializing ML/AI products
- Moving PoCs to production
- Generating measurable business impact
- Translating business needs to MLOps architectures
- Pragmatic decisions on tooling and infrastructure
- Building sustainable relationships with stakeholders
- Bringing clarity to ambiguous situations
- Turning ideas into successful projects
- Deep technical oversight
- Hands-on ML pipeline building
- Hands-on model service operation
- Hands-on CI/CD workflow operation
- Hands-on monitoring/observability stack operation
- Hands-on Kubernetes operation
- Hands-on infrastructure automation operation
- Strong knowledge of LLMOps
- Guiding teams in LLMOps adoption
Aufgaben
- Build relationships with business stakeholders
- Frame business issues, value hypotheses, and success metrics
- Translate requirements into scalable MLOps solutions
- Drive MLOps projects from PoC to production
- Plan resources and timelines
- Define scalable ML/AI architectures
- Validate data and platform readiness
- Lead cross-functional expert teams
- Work closely with Consulting on large-scale projects
- Remove project roadblocks
- Set success criteria
- Ensure adoption of standardized pipelines
- Monitor solution health
- Guide teams toward operational excellence
- Promote Responsible AI and platform governance
- Ensure compliance with security, privacy, and risk standards
- Oversee documentation of evaluations
- Document guardrails and CI/CD workflows
- Document MLOps policies and architecture decision records
- Contribute to internal frameworks and accelerators
- Build reusable components and templates
- Develop best practices for MLOps
- Evolve MLOps service offering
- Shape strategic roadmaps
- Enhance platform capabilities
- Align with stakeholders for enterprise-wide ML adoption
- Lead and develop a team of 5-7 MLOps engineers
- Foster a strong team identity
- Guide career growth
- Provide coaching and continuous feedback
- Perform fair and structured performance assessments
- Support organizational growth
- Interview new candidates
- Represent DHL Data & AI at events and conferences
Berufserfahrung
- 10 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- Kubernetes
- Azure
- AWS
- GCP
Benefits
Weiterbildungsangebote
- Comprehensive training programs
- Workshops
- E-learning resources
Flexibles Arbeiten
- Flexible work arrangement
- Mobile work and office presence
- Work-life balance
Sonstige Vorteile
- Adaptability
Öffi Tickets
- Job ticket for public transportation
Parkplatz & Pendelvorteile
- Parking space for a monthly fee
Firmenfahrrad
- Bicycle leasing
Kinderbetreuung
- DHL Group daycare facilities
Lockere Unternehmenskultur
- Inclusive and cooperative international setting
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DHL Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
DHL Group
Branche
Logistics
Beschreibung
DHL Group is the biggest logistics company in the world, providing management consulting and digitalization services across all industries.
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